Honeycomb sealing structure arrangement optimization design method, device and equipment and storage medium

Abstract

The invention discloses a honeycomb sealing structure arrangement optimization design method and device, equipment and a storage medium. The honeycomb sealing structure arrangement optimization design method comprises the following steps: generating a honeycomb initial sample by adopting an orthogonal sampling method; generating a honeycomb sealing arrangement mode according to the honeycomb initial sample number; three-dimensional simulation calculation is carried out based on the honeycomb sealing arrangement mode, and an objective function of the sample sealing arrangement mode is obtained; establishing an agent model of honeycomb sealing arrangement and an objective function; and performing optimization based on the proxy model to obtain the optimal honeycomb sealing arrangement. According to the method, the initial honeycomb sample can be generated by adopting an orthogonal sampling method, the honeycomb sealing arrangement mode can be generated according to the number of the initial honeycomb sample, three-dimensional simulation calculation is carried out to obtain the target function, then the agent model is constructed, and the optimal honeycomb sealing arrangement is obtained based on the agent model. The honeycomb distribution optimization design method suitable for discontinuity is provided, the optimal honeycomb sealing arrangement mode can be obtained, and the honeycomb sealing control effect can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of sealing structure design, and in particular to a honeycomb sealing structure layout optimization design method, device, equipment and storage medium. Background Art

[0002] At present, the sealing characteristics and rotor dynamic characteristics of honeycomb seals are very good. This is mainly because the honeycomb seal has an independent hexagonal core cell, which can produce a strong vortex and resistance effect. The airflow dissipates through layer by layer, and the flow velocity is finally reduced, which plays a sealing role. Due to its excellent sealing effect, it is widely used in turbine steam seals, turbines, compressor blade tips and casing clearance flow control.

[0003] In conventional honeycomb seal design optimization, the honeycomb seal is a honeycomb-like structure with a continuous hexagonal distribution. Optimization focuses on parameters such as the angle of the layout and the size and depth of the hexagons. However, there is currently no research on the optimization of discontinuous honeycomb distributions.

[0004] Therefore, it is necessary to design a new honeycomb sealing structure layout optimization design method to overcome the above problems. Summary of the Invention

[0005] The present application provides a honeycomb sealing structure layout optimization design method, device, equipment and storage medium, which can solve the technical problem of discontinuous honeycomb distribution optimization in related technologies that has not been studied so far.

[0006] In a first aspect, an embodiment of the present application provides a honeycomb sealing structure layout optimization design method, the honeycomb sealing structure layout optimization design method comprising:

[0007] Orthogonal sampling method is used to generate the initial honeycomb sample;

[0008] Generate honeycomb sealing arrangement mode according to honeycomb initial sample number;

[0009] Carry out three-dimensional simulation calculation based on the honeycomb sealing arrangement to obtain the objective function of the sample sealing arrangement;

[0010] Establish a proxy model for honeycomb sealing arrangement and objective function;

[0011] The optimal honeycomb sealing arrangement is obtained by optimization based on the surrogate model.

[0012] In combination with the first aspect, in one embodiment, the generating of the initial honeycomb sample by using the orthogonal sampling method includes:

[0013] The number of initial samples is determined according to the total number of cells n, and then the binary cell initial samples are generated using the orthogonal sampling method.

[0014] In conjunction with the first aspect, in one embodiment, performing a three-dimensional simulation calculation based on the honeycomb sealing arrangement to obtain an objective function of the sample sealing arrangement includes:

[0015] Based on the honeycomb seal arrangement, the honeycomb seal is combined with the gap at the action position to construct the honeycomb seal calculation domain;

[0016] The honeycomb seal calculation domain is meshed, and then three-dimensional gap flow simulation calculations are carried out to obtain the objective function of the sample sealing arrangement.

[0017] In combination with the first aspect, in one embodiment, the objective function is the total pressure loss coefficient or leakage flow of the sample sealing arrangement.

[0018] In conjunction with the first aspect, in one embodiment, the step of optimizing based on the proxy model to obtain the optimal honeycomb sealing arrangement includes:

[0019] The agent model is updated by adopting the optimization point adding criterion, and the updated agent model is optimized by adopting the genetic algorithm to obtain the point adding optimization value;

[0020] Determine whether the convergence condition is met; if so, take the optimized value of the added points as the optimal value of the honeycomb seal; otherwise, continue to update the proxy model using the optimized added points criterion until the convergence condition is met.

[0021] In combination with the first aspect, in one embodiment, the point-adding criterion is the maximum expected improvement point-adding criterion, the minimum objective function criterion, the expected improvement criterion, the maximum probability improvement criterion, the minimum statistical lower limit criterion, the maximum root mean square error criterion, the parallel point-adding criterion or the parallel expected improvement criterion.

[0022] In combination with the first aspect, in one embodiment, before the orthogonal sampling method is used to generate the initial cellular sample, the method further includes:

[0023] Determine the side length, spacing and depth of the honeycomb seal based on the specific seal usage location.

[0024] In a second aspect, an embodiment of the present application provides a honeycomb sealing structure arrangement optimization design device, the honeycomb sealing structure arrangement optimization design device comprising:

[0025] A sample generation module, which is used to generate honeycomb initial samples using an orthogonal sampling method;

[0026] A honeycomb sealing arrangement generation module, which is used to generate a honeycomb sealing arrangement according to the honeycomb initial sample number;

[0027] A simulation module is used to perform three-dimensional simulation calculations based on the honeycomb sealing arrangement to obtain the objective function of the sample sealing arrangement;

[0028] A model building module for building a proxy model of the honeycomb sealing arrangement and the objective function;

[0029] The optimization module is used to optimize the optimal honeycomb sealing arrangement based on the agent model.

[0030] In the third aspect, an embodiment of the present application provides a honeycomb sealing structure arrangement optimization design device, which includes a processor, a memory, and a honeycomb sealing structure arrangement optimization design program stored in the memory and executable by the processor, wherein when the honeycomb sealing structure arrangement optimization design program is executed by the processor, the steps of the above-mentioned honeycomb sealing structure arrangement optimization design method are implemented.

[0031] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a honeycomb sealing structure arrangement optimization design program is stored, wherein when the honeycomb sealing structure arrangement optimization design program is executed by a processor, the steps of the above-mentioned honeycomb sealing structure arrangement optimization design method are implemented.

[0032] The beneficial effects of the technical solutions provided in the embodiments of the present application include:

[0033] By adopting the orthogonal sampling method, the honeycomb initial samples can be generated. According to the honeycomb initial sample numbers, the honeycomb sealing arrangement can be generated and a three-dimensional simulation calculation can be performed to obtain the objective function. Then, a proxy model is constructed, and the optimal honeycomb sealing arrangement is obtained based on the proxy model. A method for optimizing the discontinuous honeycomb distribution design is given, which can obtain the optimal honeycomb sealing arrangement and improve the control effect of the honeycomb sealing. It solves the technical problem that there is currently no relevant research on the optimization of discontinuous honeycomb distribution in related technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flow chart of an embodiment of the honeycomb sealing structure arrangement optimization design method of the present application;

[0035] Figure 2 A schematic diagram of a fully honeycomb sealed arrangement provided in an embodiment of the present application;

[0036] Figure 3 A schematic diagram of a partially honeycomb-free sealing arrangement provided in an embodiment of the present application;

[0037] Figure 4 A schematic diagram of a honeycomb sealing calculation domain provided in an embodiment of the present application;

[0038] Figure 5 A schematic diagram of the grid division of the honeycomb sealing calculation domain provided in an embodiment of the present application;

[0039] Figure 6 A schematic diagram of the honeycomb seal arrangement optimization process provided in an embodiment of the present application;

[0040] Figure 7 A schematic diagram of the optimized honeycomb seal arrangement provided in an embodiment of the present application;

[0041] Figure 8 Schematic diagram of the hardware structure of the honeycomb sealing structure arrangement optimization design equipment involved in the embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0043] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0044] In a first aspect, an embodiment of the present application provides a method for optimizing the design of a honeycomb sealing structure arrangement.

[0045] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the honeycomb sealing structure arrangement optimization design method of this application. Figure 1 As shown, the honeycomb sealing structure layout optimization design method may include the following steps:

[0046] S1: Generate the initial honeycomb sample using the orthogonal sampling method.

[0047] S2: Generate a honeycomb sealing arrangement according to the honeycomb initial sample number.

[0048] S3: Carry out three-dimensional simulation calculations based on the honeycomb sealing arrangement to obtain the objective function of the sample sealing arrangement.

[0049] S4: Establish a proxy model for the honeycomb sealing arrangement and objective function.

[0050] S5: Optimize the optimal honeycomb sealing arrangement based on the proxy model.

[0051] In this embodiment, in step S1, the number of initial samples can be determined according to the total number of cells n, and then the binary cell initial samples can be generated using the orthogonal sampling method. Figure 2 As shown, in this embodiment, the plane size is selected as 1200m*1400m, the honeycomb side length is selected as 200mm, the spacing is 20mm, the depth is 200mm, and 30 honeycombs are evenly arranged. The honeycomb arrangement is determined by binary numbers, with 0 if there is a honeycomb and 1 if there is no honeycomb. Figure 2 There are 30 cells in the , which can be represented as the binary number 000000000000000000000000000000, Figure 3 A cell-free arrangement is provided, where the second and fourth cells are empty, which can be represented by the binary number 010100000000000000000000000000000. In other embodiments, other methods can be used to represent the initial sample, not limited to the binary number of this embodiment.

[0052] In the above embodiment, the binary number of the honeycomb sealing sample is converted into a decimal number, and a proxy model of the sample and the target function is established. The proxy model can be a Kriging proxy model.

[0053] This embodiment can generate honeycomb initial samples by adopting an orthogonal sampling method, generate a honeycomb sealing arrangement according to the honeycomb initial sample number, and perform a three-dimensional simulation calculation to obtain the objective function of the sample sealing arrangement, and then construct a proxy model. Based on the proxy model, the optimal honeycomb sealing arrangement is obtained, and a method for optimizing and designing discontinuous honeycomb distributions is provided. The method can obtain the optimal honeycomb sealing arrangement, improve the control effect of honeycomb sealing, and solve the technical problem in the related art that there is currently no relevant research on the optimization of discontinuous honeycomb distributions.

[0054] Honeycomb seals can be used in many places to prevent leakage, such as turbine shaft seals and blade casings. By adopting the optimization solution provided in this embodiment, the sealing effect of the honeycomb seal structure can be improved, leakage can be reduced, and losses can be lowered.

[0055] Furthermore, in one embodiment, in step S3, performing a three-dimensional simulation calculation based on the honeycomb sealing arrangement to obtain an objective function of the sample sealing arrangement may include:

[0056] S31: Based on the honeycomb seal arrangement, the honeycomb seal is combined with the action position gap to construct the honeycomb seal calculation domain.

[0057] S32: Grid the honeycomb seal calculation domain, and then perform three-dimensional gap flow simulation calculations to obtain the objective function of the sample sealing arrangement.

[0058] In this embodiment, after the honeycomb seal arrangement is determined, the honeycomb seal is combined with the gap at the action position to construct the following Figure 4 The honeycomb seal calculation domain shown in the figure can be used to form and draw the grid required for calculation on the honeycomb seal calculation domain using meshing software, such as Figure 5 As shown; then, gap flow simulation calculations were performed using 3D fluid simulation software to obtain the objective function of the sample sealing arrangement. In this embodiment, a reasonable calculation domain can ensure the accuracy of the simulation results. If the calculation area is not selected accurately, the subsequent mesh and simulation calculations will be inaccurate.

[0059] Furthermore, in one embodiment, the objective function is the total pressure loss coefficient ω or the leakage flow L of the sample sealing arrangement.

[0060] In this embodiment, taking the total pressure loss coefficient ω as an example,

[0061] In the above formula, P* is the mass average total pressure; m is the mass flow rate; ρ is the airflow density; V is the airflow velocity; subscripts 0, 1, and 2 represent the parameters of the blade inlet, jet tube inlet, and blade outlet, respectively.

[0062] Furthermore, in one embodiment, in step S5, the optimization based on the proxy model to obtain the optimal honeycomb sealing arrangement may include:

[0063] S51: updating the agent model by using the optimized point adding criterion, optimizing the updated agent model by using the genetic algorithm and obtaining the optimized point adding value.

[0064] S52: Determine whether the convergence condition is met; if so, use the point-adding optimization value as the optimal value of the honeycomb seal; otherwise, continue to update the proxy model using the optimized point-adding criterion until the convergence condition is met.

[0065] In this embodiment, the proxy model is updated by using the optimized adding point criterion. The adding point criterion can be the maximum expected improvement adding point criterion, the minimum objective function criterion, the expected improvement criterion, the maximum probability improvement criterion, the minimum statistical lower limit criterion, and the maximum root mean square error criterion. Parallel adding point criterion can also be used, including the parallel expected improvement criterion, so that multiple points can be added each time for updating. The updated proxy model can be optimized using genetic algorithms such as GA (of course, other genetic algorithms can also be used in other embodiments, which are not limited here) to obtain the added point optimization value. Then determine whether the convergence conditions are met. If so, the added point optimization value is used as the optimal value of the honeycomb seal. If not, continue to use the optimized adding point criterion to update the proxy model until the convergence conditions are met. In one embodiment, the total pressure loss coefficient is used as the parameter to be optimized and the objective function is established, and the GA genetic algorithm is used to obtain the added point optimization value, and the upper limit of the maximum optimization step is set to 50 steps. Figure 6 As shown in the figure, the vertical axis is the total pressure loss coefficient, and the horizontal axis is the number of cycles (i.e., the number of times the agent model is updated). After 49 cycles, the optimization converges to the optimal solution (i.e., the optimal honeycomb sealing arrangement). The optimal individual is N = 6096, and the binary code is 0000000000000000001011111010000. The arrangement can be expressed as Figure 7 shown.

[0066] Furthermore, in one embodiment, before the orthogonal sampling method is used to generate the honeycomb initial sample, the method may further include: determining the side length, spacing, and depth of the honeycomb seal according to the specific seal usage position.

[0067] In this embodiment, a planar seal is used as an example to introduce the optimization design method of honeycomb seal structure layout. This optimization design method can be applied to the optimization of honeycomb seals with any structure such as annular. For cylindrical bearing seals, it can be expanded into a plane first. Figure 2 On the plane shown in the figure, this embodiment selects a plane size of 1200m*1400m, selects a honeycomb side length of 200mm, a spacing of 20mm, a depth of 200mm, and evenly arranges 30 honeycombs. According to the plane size, the sealing structure is arranged as follows Figure 2 This embodiment uses binary numbers to determine the cellular arrangement, where the value is 0 if there is a cellular and 1 if there is no cellular. Figure 2 If there are 30 cells in the , it can be represented as the binary number 0000000000000000000000000000000, Figure 3A honeycomb-free arrangement is given, where the second and fourth cells are empty and can be represented as 010100000000000000000000000000000. First, the number of initial samples is determined according to the total number of honeycombs n. The initial samples are determined using the orthogonal sampling method and converted into a honeycomb arrangement according to the above method. The sealing gap is generated as follows: Figure 4 The computational domain is divided into two parts using meshing software. Figure 5 As shown, the gap flow simulation calculation is then carried out using three-dimensional fluid simulation software to obtain the total pressure loss ω or leakage flow L of the sample sealing arrangement as the objective function.

[0068] Convert the binary number of the honeycomb sealing sample into a decimal number, and establish a proxy model of the sample and the objective function. The proxy model can be a Kriging proxy model. The proxy model is updated using the optimization point-adding criterion. The point-adding criterion can be the maximum expectation improvement point-adding criterion, the minimum objective function criterion, the expectation improvement criterion, the maximum probability improvement criterion, the statistical lower limit minimum criterion, and the root mean square error maximum criterion. Parallel point-adding criteria can also be used, including parallel expectation improvement criteria, so that multiple points can be added each time for updating. The updated proxy model can be optimized using genetic algorithms such as GA (of course, other genetic algorithms can also be used in other embodiments, which are not limited here) to obtain the point-adding optimization value. Then determine whether the convergence conditions are met. If so, the point-adding optimization value is used as the optimal value of the honeycomb seal. If not, continue to use the optimization point-adding criterion to update the proxy model until the convergence conditions are met. In one embodiment, the total pressure loss coefficient is used as the parameter to be optimized and the objective function is established, and the GA genetic algorithm is used to obtain the point-adding optimization value, and the upper limit of the maximum optimization step is set to 50 steps. As Figure 6 As shown in the figure, the vertical axis is the total pressure loss coefficient, and the horizontal axis is the number of cycles (i.e., the number of times the agent model is updated). After 49 cycles, the optimization converges to the optimal solution (i.e., the optimal honeycomb sealing arrangement). The optimal individual is N = 6096, and the binary code is 0000000000000000001011111010000.

[0069] This application uses binary numbers to represent the arrangement of honeycomb seals, with the presence of honeycombs represented as 0 and the absence of honeycombs as 1. First, the orthogonal sampling method is used to generate binary initial samples, and the honeycomb seal arrangement method is formulated according to the binary coding method. The honeycomb seal is combined with the action position gap, and the calculation domain is constructed. The grid required for the calculation is formed and drawn, and three-dimensional simulation calculations of the samples are carried out to obtain the objective function of the corresponding samples (such as leakage volume, loss and other parameters), and then a proxy model of the honeycomb seal arrangement method and the objective function is constructed. The optimal honeycomb seal structure arrangement is obtained by optimization based on the proxy model.

[0070] In a second aspect, an embodiment of the present application also provides a honeycomb sealing structure layout optimization design device.

[0071] In one embodiment, a honeycomb sealing structure layout optimization design device includes: a sample generation module, which is used to generate honeycomb initial samples using an orthogonal sampling method; a honeycomb sealing arrangement generation module, which is used to generate a honeycomb sealing arrangement method according to the honeycomb initial sample number; a simulation module, which is used to perform three-dimensional simulation calculations based on the honeycomb sealing arrangement method to obtain the objective function of the sample sealing arrangement method; a model construction module, which is used to establish a proxy model of the honeycomb sealing arrangement and the objective function; and an optimization module, which is used to optimize based on the proxy model to obtain the optimal honeycomb sealing arrangement.

[0072] Furthermore, in one embodiment, the sample generation module is used to determine the number of initial samples according to the total number of cells n, and then generate binary cell initial samples using an orthogonal sampling method.

[0073] Furthermore, in one embodiment, the simulation module is used to combine the honeycomb seal with the action position gap based on the honeycomb seal arrangement to construct a honeycomb seal calculation domain; the honeycomb seal calculation domain is meshed, and then three-dimensional gap flow simulation calculation is carried out to obtain the objective function of the sample sealing arrangement.

[0074] Furthermore, in one embodiment, the objective function is the total pressure loss coefficient or leakage flow of the sample sealing arrangement.

[0075] Furthermore, in one embodiment, the optimization module is used to update the proxy model using an optimized point-adding criterion, optimize the updated proxy model using a genetic algorithm and obtain an optimized point-adding value; determine whether the convergence condition is met; if so, use the optimized point-adding value as the optimal value of honeycomb sealing; otherwise, continue to update the proxy model using the optimized point-adding criterion until the convergence condition is met.

[0076] Furthermore, in one embodiment, the point-adding criterion is a maximum expected improvement point-adding criterion, a minimum objective function criterion, an expected improvement criterion, a maximum probability improvement criterion, a minimum statistical lower limit criterion, a maximum root mean square error criterion, a parallel point-adding criterion or a parallel expected improvement criterion.

[0077] Furthermore, in one embodiment, the honeycomb seal structure layout optimization design device also includes a parameter determination module, which is used to determine the side length, spacing and depth of the honeycomb seal according to the specific seal usage position.

[0078] Among them, the functional implementation of each module in the above-mentioned honeycomb sealing structure arrangement optimization design device corresponds to each step in the above-mentioned honeycomb sealing structure arrangement optimization design method embodiment, and its functions and implementation processes are no longer repeated here.

[0079] In a third aspect, an embodiment of the present application provides a honeycomb sealing structure layout optimization design device, which can be a personal computer (PC), laptop computer, server, or other device with data processing capabilities.

[0080] Reference Figure 8 , Figure 8 Schematic diagram of the hardware structure of the honeycomb sealing structure arrangement optimization design device involved in the embodiment of the present application. In the embodiment of the present application, the honeycomb sealing structure arrangement optimization design device may include a processor, a memory, a communication interface and a communication bus.

[0081] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0082] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces, which are used to interconnect components within the honeycomb seal structure layout optimization design device, as well as interfaces used to interconnect the honeycomb seal structure layout optimization design device with other devices (such as other computing devices or user devices). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user devices can be displays, keyboards, etc.

[0083] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0084] The processor may be a general-purpose processor that can call a honeycomb sealing structure arrangement optimization design program stored in a memory and execute the honeycomb sealing structure arrangement optimization design method provided in the embodiments of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the honeycomb sealing structure arrangement optimization design program is called can refer to the various embodiments of the honeycomb sealing structure arrangement optimization design method of the present application and will not be repeated here.

[0085] Those skilled in the art will understand that Figure 8 The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0086] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.

[0087] The readable storage medium of the present application stores a honeycomb sealing structure arrangement optimization design program, wherein when the honeycomb sealing structure arrangement optimization design program is executed by a processor, the steps of the honeycomb sealing structure arrangement optimization design method as described above are implemented.

[0088] Among them, the method implemented when the honeycomb sealing structure arrangement optimization design program is executed can refer to the various embodiments of the honeycomb sealing structure arrangement optimization design method of the present application, and will not be repeated here.

[0089] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0090] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0091] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0092] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0093] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0094] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of the present application.

[0095] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A honeycomb sealing structure layout optimization design method, characterized in that: The honeycomb sealing structure arrangement optimization design method comprises: Orthogonal sampling method is used to generate the initial honeycomb sample; Generate honeycomb sealing arrangement mode according to honeycomb initial sample number; Carry out three-dimensional simulation calculation based on the honeycomb sealing arrangement to obtain the objective function of the sample sealing arrangement; Establish a proxy model for honeycomb sealing arrangement and objective function; The optimal honeycomb sealing arrangement is obtained by optimization based on the surrogate model.

2. The honeycomb sealing structure layout optimization design method according to claim 1, characterized in that: The method of generating the initial honeycomb sample by adopting the orthogonal sampling method includes: The number of initial samples is determined according to the total number of cells n, and then the binary cell initial samples are generated using the orthogonal sampling method.

3. The honeycomb sealing structure layout optimization design method according to claim 1, characterized in that: The three-dimensional simulation calculation based on the honeycomb sealing arrangement is performed to obtain the objective function of the sample sealing arrangement, including: Based on the honeycomb seal arrangement, the honeycomb seal is combined with the gap at the action position to construct the honeycomb seal calculation domain; The honeycomb seal calculation domain is meshed, and then three-dimensional gap flow simulation calculations are carried out to obtain the objective function of the sample sealing arrangement.

4. The honeycomb sealing structure layout optimization design method according to claim 1 or 3, characterized in that: The objective function is the total pressure loss coefficient or leakage flow of the sample sealing arrangement.

5. The honeycomb sealing structure layout optimization design method according to claim 1, characterized in that: The optimization based on the agent model to obtain the optimal honeycomb sealing arrangement includes: The agent model is updated by adopting the optimization point adding criterion, and the updated agent model is optimized by adopting the genetic algorithm to obtain the point adding optimization value; Determine whether the convergence condition is met; if so, take the optimized value of the added points as the optimal value of the honeycomb seal; otherwise, continue to update the proxy model using the optimized added points criterion until the convergence condition is met.

6. The honeycomb sealing structure layout optimization design method according to claim 5, characterized in that: The point-adding criteria include the maximum expected improvement point-adding criteria, the minimum objective function criteria, the expected improvement criteria, the maximum probability improvement criteria, the minimum statistical lower limit criteria, the maximum root mean square error criteria, the parallel point-adding criteria or the parallel expected improvement criteria.

7. The honeycomb sealing structure layout optimization design method according to claim 1, characterized in that: Before the orthogonal sampling method is used to generate the initial honeycomb sample, the method further includes: Determine the side length, spacing and depth of the honeycomb seal based on the specific seal usage location.

8. A honeycomb sealing structure layout optimization design device, characterized in that: The honeycomb sealing structure arrangement optimization design device comprises: A sample generation module, which is used to generate honeycomb initial samples using an orthogonal sampling method; A honeycomb sealing arrangement generation module, which is used to generate a honeycomb sealing arrangement according to the honeycomb initial sample number; A simulation module is used to perform three-dimensional simulation calculations based on the honeycomb sealing arrangement to obtain the objective function of the sample sealing arrangement; A model building module for building a proxy model of the honeycomb sealing arrangement and the objective function; The optimization module is used to optimize the optimal honeycomb sealing arrangement based on the agent model.

9. A honeycomb sealing structure layout optimization design device, characterized in that: The honeycomb sealing structure arrangement optimization design device includes a processor, a memory, and a honeycomb sealing structure arrangement optimization design program stored on the memory and executable by the processor, wherein when the honeycomb sealing structure arrangement optimization design program is executed by the processor, the steps of the honeycomb sealing structure arrangement optimization design method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a honeycomb sealing structure arrangement optimization design program, wherein when the honeycomb sealing structure arrangement optimization design program is executed by a processor, the steps of the honeycomb sealing structure arrangement optimization design method according to any one of claims 1 to 7 are implemented.

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